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Peng Zhao

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Open access Sep 2026

Prediction-driven active assistance control for lower-limb exoskeletons using multisource information fusion and short-term gait prediction

Introduction For lower-limb exoskeletons to provide continuous position-reference assistance based on wearer state, the state of human–exoskeleton coupling must be sensed and translated into executable motor commands. However, when prediction outputs are directly fed into low-level controllers without further processin...

Yuan-Xiang Guo, Yu-Hui Yang, Wen-Yu Zhao et al. · 0 citations
Conference Jul 2026

Research on adaptive robust control of lower limb rehabilitation exoskeleton

Simulation and experimental results demonstrate that compared to traditional PID control and sliding mode control (SMC), the ARCEC method exhibits significant advantages in trajectory tracking accuracy, enabling the lower-limb exoskeleton to precisely track human gait curves.

Chao Yang, Xin Han, Zhijue Huang et al. · 0 citations

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